Spatially Structured Evolutionary Algorithms

Artificial Evolution in Space and Time

  • Marco┬áTomassini

Part of the Natural Computing Series book series (NCS)

Table of contents

About this book


Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks.

The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.


algorithm algorithms evolution evolutionary algorithm evolutionary computation heuristics learning machine learning optimization

Authors and affiliations

  • Marco┬áTomassini
    • 1
  1. 1.Information Systems Department (INFORGE)University of LausanneLausanneSwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-24193-5
  • Online ISBN 978-3-540-29938-7
  • Series Print ISSN 1619-7127
  • Buy this book on publisher's site